Spatial-temporal noise reduction filter for image devices

Digital image sequences are prone to high noise levels in low light conditions, due to the increased gains. The presence of noise degrades visual quality and decreases the performance of subsequent processing tasks, such as object tracking, and video compression. We propose a denoising technique for...

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Bibliographic Details
Main Authors: Sang-Hee Yoo, Jae-Wook Jeon, Jung-Hyun Hwang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Cameras
Degradation
Digital filters
digital image stabilizer
Digital images
Image edge detection
Noise level
Noise reduction
Spatial filters
spatial noise reduction
temporal noise reduction
Video compression
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Summary:Digital image sequences are prone to high noise levels in low light conditions, due to the increased gains. The presence of noise degrades visual quality and decreases the performance of subsequent processing tasks, such as object tracking, and video compression. We propose a denoising technique for camera systems. Our proposed structure is composed of an edge preserving spatial filter, digital image stabilization and motion adaptive temporal filter. Using spatial and temporal motion data, our proposed motion detector is shown to be efficient in reducing artifacts, such as ghost-tail or blurring caused by recursive temporal filtering methods.
DOI:10.1109/ICCAS.2008.4694641